high-volume data processing

[ˈhaɪ ˈvɑːljuːm ˈdeɪtə ˈprɑːsesɪŋ]
noun
processamento de dados em alto volume
1. The automated handling, analysis, and transformation of large quantities of data in computing systems
High-volume data processing is essential for managing the millions of transactions that occur daily in banking systems.
O processamento de dados em alto volume é essencial para gerenciar os milhões de transações que ocorrem diariamente em sistemas bancários.
2. Technology and infrastructure designed to efficiently process, store, and retrieve large datasets at scale
Cloud platforms excel at high-volume data processing for big data analytics.
As plataformas em nuvem se destacam no processamento de dados em alto volume para análise de big data.
This term is widely used in both Brazilian and American tech industries, particularly in financial services, e-commerce, and software development sectors. In Brazil, as technology adoption accelerates, this terminology has become standard in corporate environments, especially in São Paulo's financial district. The concept is critical to understanding modern cloud infrastructure and is frequently discussed in tech startups and multinational corporations operating in Brazil.
Synonyms / Sinônimos
big data processinglarge-scale data processingbulk data processingmassive data handling
Antonyms / Antônimos
small-scale data processinglow-volume data processingminimal data processing

Regional Variations

General Brazilian
processamento de dados em alto volume
Standard term used in technology sector and academia
São Paulo
processamento massivo de dados
Common alternative in business and tech hubs
Rio de Janeiro
tratamento em larga escala de dados
More descriptive variant sometimes used
Portugal
processamento de elevado volume de dados
European Portuguese preference for formal structure

Related Words

big datadata analyticscloud computingdistributed systemsdata warehouseETL (Extract, Transform, Load)

Related Idioms & Phrases

handling data at scale
processing big data
managing data pipelines
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